AI 中文总结
研究AI智能体通信在6G网络下面临的问题，基于面向服务虚拟化的架构（SOVA），通过分析6G关键架构范式满足SOVA要求的潜力，找出差距，进而明确研发方向，助力6G网络原生赋能AI智能体通信。
AI 中文摘要
智能AI和多智能体系统的快速发展使AI智能体通信成为未来互联网的基本需求。尽管近期出现了多种智能体通信协议，但这些解决方案目前面临互操作性危机和基础设施差距。新提出的基于面向服务虚拟化的架构（SOVA）为解决智能体通信挑战提供了框架，期望得到网络基础设施的无缝支持。新兴的人工智能原生6G网络有望为SOVA框架提供坚实基础，极大促进AI智能体通信，但其对SOVA框架的支持效果尚未得到充分评估。本文研究当前及拟议的6G网络架构和协议规范对支持AI智能体通信的SOVA框架的能力，通过审视6G关键架构范式及其满足SOVA要求的潜力，识别6G标准与AI智能体通信需求之间的差距，并基于此分析概述研发方向，以确保未来6G网络能在智能AI时代原生赋能AI智能体通信。
英文摘要
The rapid development of agentic AI and multi-agent systems is establishing AI agent communication as a fundamental requirement for the future Internet. While a diverse array of agent communication protocols has recently emerged, these solutions currently suffer from interoperability crises and infrastructure gaps. The newly proposed Service-Oriented Virtualization-Based Architecture (SOVA) offers an architectural framework to address these challenges for agent communication, which expects seamless support from the network infrastructure. The emerging AI-native 6G network is promising as a robust foundation for the SOVA framework, thereby greatly facilitating AI agent communication; however, its effectiveness in supporting the SOVA framework has yet to be fully assessed. To bridge the distinct research trajectories of AI-native 6G networks and AI agent communications, this paper investigates the capabilities of current and proposed 6G network architectures and protocol specifications for supporting the SOVA framework for AI agent communications. By critically examining 6G's key architectural paradigms and their potential to fulfill SOVA's requirements, this paper identifies gaps between 6G standards and the demands of AI agent communication. Based on this gap analysis, this paper outlines research and development directions to ensure that the future 6G network can natively empower AI agent communications in the era of agentic AI.
